Amazon DVA-C02トレーリング学習、DVA-C02出題内容

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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Troubleshooting and Optimization18%- Debug and resolve errors
  • 1. Identify and fix code defects
  • 2. Resolve integration and configuration problems
- Troubleshoot application issues
  • 1. Use Amazon CloudWatch, AWS X-Ray for monitoring
  • 2. Analyze logs, metrics, and traces
- Optimize application performance
  • 1. Optimize resource usage and costs
  • 2. Improve latency and throughput
Security26%- Secure application data
  • 1. Manage secrets and credentials securely
  • 2. Implement encryption at rest and in transit
- Apply security best practices
  • 1. Follow AWS Well-Architected Framework security principles
  • 2. Validate application security configurations
- Implement authentication and authorization
  • 1. Use Amazon Cognito for identity management
  • 2. Manage IAM roles, policies, and permissions
Deployment24%- Deploy applications on AWS
  • 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
  • 2. Perform safe updates and rollbacks
- Prepare application artifacts for deployment
  • 1. Use infrastructure as code (AWS CloudFormation, AWS SAM)
  • 2. Package code and dependencies
- Implement CI/CD pipelines
  • 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 2. Automate deployment and testing workflows
Development with AWS Services32%- Write code for applications hosted on AWS
  • 1. Use AWS SDKs and APIs
  • 2. Develop serverless applications
  • 3. Implement architectural patterns
- Integrate AWS services into applications
  • 1. Implement messaging and event-driven workflows
  • 2. Use AWS Lambda, API Gateway, Amazon EventBridge
- Interact with AWS data services
  • 1. Implement caching and data storage strategies
  • 2. Work with Amazon DynamoDB, Amazon S3

>> Amazon DVA-C02トレーリング学習 <<

Amazon DVA-C02出題内容 & DVA-C02問題数

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q96-Q101):

質問 # 96
A developer is building an application to process a stream of customer orders. The application sends processed orders to an Amazon Aurora MySQL database. The application needs to process the orders in batches.
The developer needs to configure a workflow that ensures each record is processed before the application sends each order to the database.
Which solution meets these requirements?

正解：D


質問 # 97
A company must encrypt sensitive data that the company will store in Amazon S3. A developer must retain total control over the company's AWS Key Management Service (AWS KMS) key and the company's data keys. The company currently uses an on-premises hardware security module (HSM) solution. The company wants to move its key management onto AWS.
Which solution will meet these requirements?

正解：B

解説：
https://docs.aws.amazon.com/cloudhsm/latest/userguide/best-practices.html Q: Can other AWS services use CloudHSM to store and manage keys?
AWS services integrate with AWS Key Management Service, which in turn is integrated with AWS CloudHSM through the KMS custom key store feature. If you want to use the server-side encryption offered by many AWS services (such as EBS, S3, or Amazon RDS), you can do so by configuring a custom key store in AWS KMS.


質問 # 98
A developer is writing a mobile application that allows users to view images from an S3 bucket.
The users must be able to log in with their Amazon login, as well as supported social media accounts.
How can the developer provide this authentication functionality?

正解：B


質問 # 99
An organization is storing large files in Amazon S3, and is writing a web application to display meta-data about the files to end-users. Based on the metadata a user selects an object to download. The organization needs a mechanism to index the files and provide single-digit millisecond latency retrieval for the metadata.
What AWS service should be used to accomplish this?

正解：D

解説：
In this scenario, the metadata about the files can be stored in a DynamoDB table with a primary key based on the metadata attributes. This would enable the organization to quickly query and retrieve metadata about the files in real-time, with single-digit millisecond latency.


質問 # 100
An Amazon Kinesis Data Firehose delivery stream is receiving customer data that contains personally identifiable information. A developer needs to remove pattern-based customer identifiers from the data and store the modified data in an Amazon S3 bucket.
What should the developer do to meet these requirements?

正解：B

解説：
Amazon Kinesis Data Firehose is a service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Amazon Kinesis Data Analytics. The developer can implement Kinesis Data Firehose data transformation as an AWS Lambda function. The function can remove pattern-based customer identifiers from the data and return the modified data to Kinesis Data Firehose. The developer can set an Amazon S3 bucket as the destination of the delivery stream.
Reference:
[What Is Amazon Kinesis Data Firehose? - Amazon Kinesis Data Firehose]
[Data Transformation - Amazon Kinesis Data Firehose]


質問 # 101
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